A Survey on Tumor Node Detection in PET/CT image based on Image Fusion

Authors(2) :-M. Mohanasundari, D. Kaviya

To enhance the spatial and spectral resolution from several low resolution images, image fusion is required. Image fusion based on Discrete Wavelet Transforms (DWT) is one of the superior methods because it is a multi resolution approach, it allows image decomposition in different kinds of coefficients and provides directional information. DWT based fusion methods and Haar wavelet based fusion method are used in literature when compared to pixel averaging method, select maximum and minimum method. In the present work, contourlet transform and neural networks are integrated to exploit the classification capabilities of neural networks to fuse PET and CT image. The fused images of the proposed method are more complete with minimum distortion and eliminate most of the visual artifacts.

Authors and Affiliations

M. Mohanasundari
Assistant Professor (Selection Grade), Department of Computer Science & Engineering, Velalar College of Engineering and Technology, TN, India
D. Kaviya
M. E. Scholar, Department of Computer Science & Engineering, Velalar College of Engineering and Technology, TN, India

Tumor, Image Fusion, Discrete Wavelet Transforms (DWT), Positron Emission Tomography (PET), Computed Tomography (CT)

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2018
Date of Publication : 2018-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 320-330
Manuscript Number : CSEIT183757
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

M. Mohanasundari, D. Kaviya, "A Survey on Tumor Node Detection in PET/CT image based on Image Fusion ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 7, pp.320-330, September-October-2018.
Journal URL : http://ijsrcseit.com/CSEIT183757

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